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David Barral, F. Javier Cardama, Guillermo Díaz-Camacho, Daniel Faílde et al. • Computer Science Review
(2025)
The emerging field of quantum computing has shown it might change how we process information by using the unique principles of quantum mechanics . As researchers continue to push the boundaries of quantum technologies to unprecedented level...
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DOI: https://doi.org/10.1016/j.cosrev.2025.100747
Péter Wittek (2014)
Quantum Machine Learning bridges the gap between abstract developments in quantum computing and the applied research on machine learning. Paring down the complexity of the disciplines involved, it focuses on providing a synthesis that expla...
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Andreas Bayerstadler, Guillaume Becquin, Julia Binder, Thierry Botter et al. • EPJ Quantum Technology
(2021)
Abstract Quantum computing promises to overcome computational limitations with better and faster solutions for optimization, simulation, and machine learning problems. Europe and Germany are in the process of successfully establishing resea...
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DOI: https://doi.org/10.1140/epjqt/s40507-021-00114-x
Matthias Steffen, David Peter Divincenzo, Jerry M. Chow, T. N. Theis et al. • IBM Journal of Research and Development
(2011)
Quantum physics provides an intriguing basis for achieving computational power to address certain categories of mathematical problems that are completely intractable with machine computation as we know it today. We present a brief overview ...
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DOI: https://doi.org/10.1147/jrd.2011.2165678
Muhammad Ali Shafique, Arslan Munir, Imran Latif • IEEE Access
(2024)
Quantum computing, a transformative field that emerged from quantum mechanics and computer science, has gained immense attention for its potential to revolutionize computation. This paper aims to address the fundamentals of quantum computin...
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DOI: https://doi.org/10.1109/access.2024.3362955
Géza Tóth, Craig S. Lent • Physical Review A
(2001)
Quantum-dot cellular automata (QCA), arrays of coupled quantum-dot devices, are proposed for quantum computing. The notion of coherent QCA (CQCA) is introduced in order to distinguish QCA applied to quantum computing from classical digital ...
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DOI: https://doi.org/10.1103/physreva.63.052315
A. Narayanan • IEEE Congress on Evolutionary Computation (CEC)
(2003)
The paper introduces the basic concepts and principles behind quantum computing and examines in detail Shor's (1994) quantum algorithm for factoring very large numbers. Some basic methodological principles and guidelines for constructing qu...
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DOI: https://doi.org/10.1109/cec.1999.785552
Prashant S. Emani, Jonathan Warrell, Alan Anticevic, Stefan Bekiranov et al. • Nature Methods
(2021)
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Open Access
DOI: https://doi.org/10.1038/s41592-020-01004-3
PMC: 8254820
Marcello Caleffi, Michele Amoretti, Davide Ferrari, Jessica Illiano et al. • Computer Networks
(2024)
Nowadays, quantum computing has reached the engineering phase, with fully-functional quantum processors integrating hundreds of noisy qubits. Yet – to fully unveil the potential of quantum computing out of the labs into the business reality...
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DOI: https://doi.org/10.1016/j.comnet.2024.110672
Marcos K. Aguilera, Leonardo Querzoni, Marc Shapiro • Lecture notes in computer science
(2014)
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DOI: https://doi.org/10.1007/978-3-319-14472-6
James W. Mickens, Brian D. Noble (2006)
Loosely-coupled distributed systems have significant scale and cost advantages over more traditional architectures, but the availability of the nodes in these systems varies widely. Availability modeling is crucial for predicting per-machin...
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Ken Birman • Texts in computer science
(2012)
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DOI: https://doi.org/10.1007/978-1-4471-2416-0
Jon Crowcroft • Cambridge University Engineering Department Publications Database
(1995)
Featuring approximately 60 illustrations, 30 equations and 100 references, this book is a comprehensive text for students, and a practical guide for engineers....
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Ruijie Meng, George Pîrlea, Abhik Roychoudhury, Ilya Sergey • ACM SIGSAC Conference on Computer and Communications Security (CCS)
(2023)
Grey-box fuzzing is the lightweight approach of choice for finding bugs in sequential programs. It provides a balance between efficiency and effectiveness by conducting a biased random search over the domain of program inputs using a feedba...
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DOI: https://doi.org/10.1145/3576915.3623097
Keith A. Lantz • UR Research (University of Rochester)
(1980)
In designing a distributed system it is useful to distinguish between services provided to end-users and services provided to programs. The first type of service is provided by the user interface, the second by the system interface. Both us...
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Xu Zhao, Zhiwei Lei, Guigang Zhang, Yong Zhang et al. • Lecture notes in computer science
(2020)
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DOI: https://doi.org/10.1007/978-3-030-60029-7_56
Andreas Bolfing • Oxford University Press eBooks
(2020)
Abstract Chapter 5 considers distributed systems by their properties. The first section studies the classification of software systems, which is usually distinguished in centralized, decentralized and distributed systems. It studies the dif...
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DOI: https://doi.org/10.1093/oso/9780198862840.003.0005
Morris S. Sloman (1994)
Contents Introduction 1. Management - What and Why Enabling Technologies 2. Network Technologies 3. Distributed Systems Models and Standards for Management 4. OSI Management Model and Standards 5. OSI Structure of Management Information 6. ...
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Jeff Kramer, Jeff Magee, Morris S. Sloman • ACM SIGOPS European Workshop
(1992)
Distributed systems are constructed from a set of computational components which are bound together to interact and communicate to achieve some over all objective. In this paper, we examine the issues related to system configuration, partic...
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DOI: https://doi.org/10.1145/506378.506406
Ross Anderson (2001)
The world has changed radically since the first edition of this book was published in 2001. Spammers, virus writers, phishermen, money launderers, and spies now trade busily with each other in a lively online criminal economy and as they sp...
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DOI: https://doi.org/10.1002/9781119644682